Journal article
YouTube: Applying FRBR and Exploring the Multiple Description Coding Compression Model
Cataloging & classification quarterly, v 50(5-7), pp 742-762
01 Jun 2012
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This article reports on a study exploring Functional Requirements for Bibliographic Records (FRBR) and a preservation model (Multiple Description Coding Compression [MDC2]) for addressing YouTube's multiple variant and preservation challenges. A sample included 20 YouTube segments: 10 connected with US astronaut Neil Armstrong's first step on the moon, and 10 with the 1966 classic movie, Batman: The Movie. The FRBR analysis used a qualitative content analysis, and the MDC2 exploration used protocol modeling. Results indicate that FRBR is applicable to YouTube, although the FRBR analyses required localization of the Work, Expression, Manifestation, and Item entities. The MDC2 exploration illustrates an approach for exploring FRBR in the context of other models.
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Details
- Title
- YouTube: Applying FRBR and Exploring the Multiple Description Coding Compression Model
- Creators
- Jane Greenberg - School of Information and Library Science , University of North Carolina at Chapel HillShaun Trujillo - Forest History SocietyKetan Mayer-Patel - Department of Computer Science , University of North Carolina at Chapel Hill
- Publication Details
- Cataloging & classification quarterly, v 50(5-7), pp 742-762
- Publisher
- Taylor & Francis Group
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000210546200023
- Scopus ID
- 2-s2.0-84866874375
- Other Identifier
- 991014878464604721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
InCites Highlights
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- Web of Science research areas
- Information Science & Library Science